DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

13 March 2017

Ruiming Tang

Papers citing "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

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DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 52 12 0 11 Mar 2022
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A Unified Framework for Campaign Performance Forecasting in Online Display Advertising Jun Chen Cheng Chen Huayue Zhang Qing Tan 37 2 0 24 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 118 100 0 22 Feb 2022
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems Saeed Ghoorchian E. Kortukov S. Maghsudi OffRL 82 0 0 07 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong Yangyong Zhu 39 18 0 06 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Qi Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li 64 47 0 05 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 104 36 0 25 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 66 9 0 24 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 49 19 0 19 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach Ke Hu Yi Qi Jianqiang Huang Jia Cheng Jun Lei 50 6 0 18 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 64 60 0 18 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 49 28 0 17 Jan 2022
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Deep Unified Representation for Heterogeneous Recommendation Chengqiang Lu Mingyang Yin Shuheng Shen Luo Ji Qi Liu Hongxia Yang DML 26 6 0 15 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li Xinming Zhang Ping Li 3DV 78 8 0 05 Jan 2022
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis Dongbo Xi Fuzhen Zhuang Bowen Song Yongchun Zhu Shuai Chen Dan Hong Tao Chen Xi Gu Qing He 59 18 0 31 Dec 2021
MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios Xiaofeng Pan Ming Li Jing Zhang Keren Yu Luping Wang Hong Wen Chengjun Mao Bo Cao 78 8 0 27 Dec 2021
MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction Xiaofeng Pan Yibin Shen Jing Zhang Xu He Yang Huang Hong Wen Chengjun Mao Bo Cao 51 2 0 27 Dec 2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction Kailun Wu Zhangming Chan Weijie Bian Lejian Ren Shiming Xiang Shuguang Han Hongbo Deng Bo Zheng 54 12 0 21 Dec 2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi-Xin Yang Yangyu Tao Tengjiao Wang 67 58 0 14 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 70 23 0 14 Dec 2021
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 56 1 0 07 Dec 2021
DANets: Deep Abstract Networks for Tabular Data Classification and Regression Jintai Chen Kuan-Yu Liao Yao Wan Benlin Liu Jian Wu LMTD 146 58 0 06 Dec 2021
A General Framework for Debiasing in CTR Prediction Wenjie Chu Shen Li Chao Chen Longfei Xu Hengbin Cui Kaikui Liu CML 56 4 0 06 Dec 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach Maximilian Würfel Qiwei Han Maximilian Kaiser AI4TS 45 8 0 16 Nov 2021
Evolving Deep Neural Networks for Collaborative Filtering Yuhan Fang Yuqiao Liu Yanan Sun 51 0 0 15 Nov 2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations Kyuyong Shin Hanock Kwak KyungHyun Kim Max Nihlén Ramström Jisu Jeong Jung-Woo Ha Seon Gyeom Kim ELM 110 42 0 15 Nov 2021
Session-aware Item-combination Recommendation with Transformer Network Tzu-Heng Lin Chen Gao LMTD 40 0 0 13 Nov 2021
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Dynamic Parameterized Network for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Guangpeng Chen Junsheng Jin Changping Peng Zhangang Lin Jingping Shao 51 2 0 09 Nov 2021
A Recommendation System to Enhance Midwives' Capacities in Low-Income Countries Anna Guitart A. Heydari Eniola Olaleye Jelena Ljubicic Ana Fernández del Río África Periánez Lauren Bellhouse 43 6 0 02 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 89 15 0 28 Oct 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 48 19 0 25 Oct 2021
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System A. Moawad Zhijian Li Ines Pancorbo K. M. Gurumurthy Vincent Freyermuth E. Islam R. Vijayagopal M. Stinson A. Rousseau 29 9 0 21 Oct 2021
MultiHead MultiModal Deep Interest Recommendation Network Ming-Hua Yang Shaobo Li Zhou Peng Ansi Zhang Yuanmeng Zhang 15 0 0 19 Oct 2021
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant Wei Xiao Qian Hu Thahir Mohamed Zheng Gao Xibin Gao Radhika Arava M. Abdelhady 49 3 0 19 Oct 2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 120 2 0 19 Oct 2021
Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails Kun Niu Xipeng Cao Yicong Yu 56 2 0 15 Oct 2021
SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios Qi Shen Wanjie Tao Jing Zhang Hong Wen Zulong Chen Quan Lu 84 74 0 13 Oct 2021
Learning to Select Historical News Articles for Interaction based Neural News Recommendation Peitian Zhang Zhicheng Dou Jing Yao AI4TS 42 3 0 13 Oct 2021
Breaking the Softmax Bottleneck for Sequential Recommender Systems with Dropout and Decoupling Yi Lin BDL 26 3 0 11 Oct 2021
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits Yan Li Dhruv Choudhary Xiaohan Wei Baichuan Yuan Bhargav Bhushanam T. Zhao Guanghui Lan 46 6 0 10 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 64 34 0 09 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 150 706 0 05 Oct 2021
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence Jing Yao Zhicheng Dou Ruobing Xie Yanxiong Lu Zhiping Wang Ji-Rong Wen 121 23 0 30 Sep 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning Yujie Pan Jiangchao Yao Bo Han Kunyang Jia Ya Zhang Hongxia Yang MQ 77 18 0 27 Sep 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 74 5 0 26 Sep 2021